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Double-Parallel Monte Carlo for Bayesian Analysis of Big Data
This paper proposes a simple, practical and efficient MCMC algorithm for Bayesian analysis of big data. The proposed algorithm suggests to divide the big dataset into some smaller subsets and provides a simple method to aggregate the subset posteriors to approximate the full data posterior. To furth...
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| Publicat a: | Stat Comput |
|---|---|
| Autors principals: | , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2017
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6474686/ https://ncbi.nlm.nih.gov/pubmed/31011242 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11222-017-9791-1 |
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